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CEC
2005
IEEE
15 years 8 months ago
XCS with computed prediction in continuous multistep environments
We apply XCS with computed prediction (XCSF) to tackle multistep reinforcement learning problems involving continuous inputs. In essence we use XCSF as a method of generalized rein...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
JCP
2008
121views more  JCP 2008»
15 years 6 months ago
Relation Organization of SOM Initial Map by Improved Node Exchange
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
Tsutomu Miyoshi
JNCA
2006
114views more  JNCA 2006»
15 years 6 months ago
An evolutionary approach to prototyping pedagogical agents: from simulation to integrated system
We have developed and integrated software agents with two educational groupware systems (TeamWave Workplace and FLE), using evolutionary prototyping and empiricalbased design as d...
Anders I. Mørch, Jan A. Dolonen, Jan Eirik ...
TLT
2008
90views more  TLT 2008»
15 years 6 months ago
Group Scribbles to Support Knowledge Building in Jigsaw Method
The jigsaw method empowers students to build their own knowledge through successive engagement through interactions in original group discussions and in expert group discussions. H...
Chee-Kit Looi, Chiu-Pin Lin, Kuo-Ping Liu
ISDA
2010
IEEE
15 years 4 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal